Evidence map›Paper›PMID 34636190›Full record

ArticleJournal of Zhejiang University. Science. B2021

Impact of antitumor regimens on the outcomes of cancer patients with COVID-19: a pooled analysis.

Haohua Lu, Yu Shi, Kelie Chen, Zhi Chen, Haihong Zhu, Yuequn Niu, Dajing Xia, Yihua Wu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Haohua LuDepartment of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Yu ShiThe State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
Kelie ChenDepartment of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Zhi ChenCollaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.
Haihong ZhuNational Clinical Research Center for Infectious Diseases, Hangzhou 310003, China.
Yuequn NiuDepartment of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Dajing XiaDepartment of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China. dxia@zju.edu.cn.
Yihua WuDepartment of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China. georgewu@zju.edu.cn.
Women's Hospital, School of Medicine, Zhejiang University · CNNational Clinical Research Center for Digestive Diseases · CNState Key Laboratory of Diagnosis and Treatment of Infectious Diseases

Funding

the National Natural Science Foundation of China 81773016 and 21976155the Zhejiang Provincial Natural Science Foundation of China LY18C060001the Zhejiang Scientific and Technological Major Project under the 2020 Emergency 2020C03124the Zhejiang University Special Scientific Research Fund for COVID-19 Prevention and Control, and the Zhejiang Natural Project on Emergency Research about Community Prevention, Control, Early Warning and Prediction of the Novel Coronavirus Outbreak LEZ20H260001
6 · The paper itself

Abstract

Since the outbreak of coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) discovered in December 2019, the disease has emerged as a global pandemic (Shi et al., 2020; World Health Organization, 2020). Several studies have shown a higher incidence of COVID-19, as well as related poor outcomes in patients with malignancies as compared with those without them (Liang et al., 2020; Tian et al., 2020). The impact of cancer on COVID-19 may be attri‑buted to the use of antitumor treatments that may disturb the host response to SARS-CoV-2 infection (Wang et al., 2020), while the current studies on this topic have drawn controversial conclusions. Some implied that anticancer treatments might elevate the risk of death (García-Suárez et al., 2020; Liu et al., 2020). On the contrary, others pointed out that this association is not significant (Brar et al., 2020; Lee et al., 2020a). Although previous systematic reviews have investigated this important issue (Wang and Huang, 2020), the heterogeneity of findings is obvious and the general conclusion has remained unclear. Considering this ambiguity, it is difficult for clinicians to make therapeutic decisions when facing patients with both cancer and COVID-19; therefore, a high-quality and accurate evaluation of the impact of anticancer treatments on COVID-19 patients is necessary. Accordingly, we conducted a pooled analysis with the original data of each patient for the first time to provide a comprehensive perspective into the association between anticancer regimens and the outcomes of cancer patients with COVID-19.

Indexed as

SARS-CoV-2AdultAgedAged, 80 and overCOVID-19FemaleHumansMaleMiddle AgedNeoplasmsAnti-tumor regimensCancerCOVID-19Pooled analysis

Identifiers

PMID34636190
PMCPMC8505457
OpenAlexW3207687503

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.